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Aerospace Data Science Jobs (NOW HIRING)

Data Scientist

Palo Alto, CA · On-site

$115K - $180K/yr

You will be part of our ML/Data Science and Engineering teams focused on building and training ... aerospace and defense, among many others. The company is headquartered in Palo Alto, California ...

Data Scientist

Palo Alto, CA · On-site +1

$115K - $180K/yr

You will be part of our ML/Data Science and Engineering teams focused on building and training ... aerospace and defense, among many others. The company is headquartered in Palo Alto, California ...

$120K - $170K/yr

Experience with time-series data, and a background/education blend (ideally a Master's or Doctorate program) in Data Science. Industry experience in defense, aerospace, or cybersecurity is a major ...

Applied Data Scientist

Arlington, VA · On-site +1

$120K - $170K/yr

Experience with time-series data, and a background/education blend (ideally a Master\'s or Doctorate program) in Data Science. Industry experience in defense, aerospace, or cybersecurity is a major ...

Applied Data Scientist

Arlington, VA · On-site +1

$120K - $170K/yr

Experience with time-series data, and a background/education blend (ideally a Master's or Doctorate program) in Data Science. Industry experience in defense, aerospace, or cybersecurity is a major ...

These markets include aerospace and defense, factory automation, air and water quality ... Strong experience applying data science, statistics, and operations research techniques

Minimum of 5 years of experience in data science, machine learning, or artificial intelligence with a focus on defense, aerospace, or national security applications. * Demonstrated experience with ...

Minimum of 5 years of experience in data science, machine learning, or artificial intelligence with a focus on defense, aerospace, or national security applications. * Demonstrated experience with ...

Required : • Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or ... aerospace and defense industry. Company : Accelint is a technology company that provides AI ...

Bachelor's degree in engineering (manufacturing, mechanical, industrial, aerospace, Data Science or related field.) * 2+ Years of related experience * Proficiency in mathematical/statistical software ...

Data Governance Lead

East Aurora, NY · On-site

$130K - $160K/yr

... Aerospace Innovation at Astronics The Data Governance Lead will step into a program with ... Bachelor's degree in Information Systems, Computer Science, Engineering, Data Management, or ...

This role lives at the intersection of data science and data strategy. You're equally comfortable ... Background in or adjacent to manufacturing, defense, aerospace, or industrial sectors (strong ...

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Aerospace Data Science information

See salary details

$23.5K

$110.6K

$205K

How much do aerospace data science jobs pay per year?

As of Jul 7, 2026, the average yearly pay for aerospace data science in the United States is $110,620.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $154,500.00 per year, depending on experience, location, and employer.

What types of projects do Aerospace Data Science professionals typically work on?

As an Aerospace Data Science professional, you may work on a wide range of projects including optimizing flight operations, predicting maintenance needs through data analytics, analyzing sensor data from aircraft or spacecraft, and enhancing safety or performance using machine learning models. You'll often collaborate with engineers, pilots, and software developers to translate large datasets into actionable insights. Depending on the organization, your work could involve designing and implementing algorithms, automating processes, or improving simulation accuracy for research and development. This dynamic role offers the opportunity to contribute to technology advancements and directly impact operational efficiency and safety in the aerospace sector.

What are the key skills and qualifications needed to thrive in the Aerospace Data Science position, and why are they important?

Aerospace Data Science professionals require strong analytical skills, experience with statistical modeling, machine learning, and a solid background in aerospace engineering or a related technical field. Proficiency in programming languages such as Python or MATLAB, familiarity with data visualization tools, and knowledge of aerospace data systems like flight data recorders or simulation platforms are highly valued. Excellent problem-solving abilities, clear communication, and the ability to collaborate across multidisciplinary teams set candidates apart. These competencies enable effective interpretation of complex aerospace data, drive innovation, and support critical decision-making in a highly technical industry.

What is an Aerospace Data Science job?

An Aerospace Data Science job involves applying data science techniques to analyze, interpret, and optimize aerospace systems. Professionals in this field work with large datasets from satellites, flight sensors, simulations, and maintenance logs to improve aircraft performance, safety, and efficiency. They use machine learning, statistical modeling, and AI to support decision-making in areas like predictive maintenance, navigation, and space exploration. The role requires expertise in both aerospace engineering principles and data science methodologies.

More about Aerospace Data Science jobs
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What are the most commonly searched types of Aerospace Data Science jobs? The most popular types of Aerospace Data Science jobs are:
What states have the most Aerospace Data Science jobs? States with the most job openings for Aerospace Data Science jobs include:
Data Scientist

Data Scientist

Vianai Systems

Palo Alto, CA • On-site

$115K - $180K/yr

Full-time

Posted 9 days ago


Job description

The Opportunity:

Vianai is looking for an experienced Data Scientist who will build and train our next generation AI platform. Our ideal Data Scientist is hands-on, collaborative, self-motivated, and innovative. She or he should be as excited as we are to create human-centered AI products poised for rapid growth and continued success.

Expectations:

  • You will be part of our ML/Data Science and Engineering teams focused on building and training robust and interactive machine learning applications.
  • You will collaborate with a diverse team of designers, developers, engineers and data scientists from around the globe.
  • You have strong mathematical, analytical, and quantitative problem solving abilities.
  • You can effectively communicate and present your work in a clear and simple manner as a strong team player.

Qualifications:

  • M.S. in Computer Science, Applied Mathematics, Statistics or related field.
  • Proven track record of developing novel learning algorithms/systems.
  • 3-5 years of experience in statistical modeling, machine learning, or data mining practices.
  • Experience with Machine/Deep Learning software packages such as TensorFlow/MXNet/SparkML/R etc.
  • Ability to visualize data and present core insights in a clear and compelling way.
  • Ability to multi-task, express creativity, and rapid prototype in an agile development environment.
  • Excellent communication and teamwork skills.

Preferred Qualifications:

  • Ph.D. in Computer Science, Applied Mathematics, Statistics or related field
  • Hands on experience on full stack JavaScript web application development.
  • Familiar with data stack applications like SQL Database, Data warehouse, Kafka etc.
  • Knowledge in Business Intelligence and tools like Tableau.

Who We Are:

We are a team of engineers, designers, doers, makers, and thought leaders. We are also sisters and brothers, fathers and mothers, partners and friends. We are curious and creative, confident and humble and we have a passion for what's next. We believe that when used to amplify our humanity, our technology has the power to do good in the world.

While Vianai is a part of each one of us, it isn't all of us.

Our company is founded on a culture of trust, empowerment, and respect. We bring our whole self to work - the non-perfect, messy, sometimes imposter, sometimes expert, sometimes vulnerable, and sometimes superhuman self that contributes to what we believe in. We are committed to advancing inclusion, equity and diversity because we believe that to design more transparent and beneficial AI systems, we need architects of all types. And to us, the more perspectives the better.

Vianai has deep expertise in enterprise technologies and landscapes, business application development, engineering services, design thinking, and cutting-edge AI research. We are a startup, and we are founded, funded, and led by veterans of the industry. We think and work like entrepreneurs, but we've brought a wealth of experience and expertise that is deeply relevant to our mission and the market opportunity.

About Vianai:

Vianai is a Human-Centered AI platform and products company amplifying the power of human understanding and collaboration together with advanced AI techniques, to drive transformation. Vianai's unique human-centered approach empowers data professionals and domain experts to leverage causal data science, drive deeper intelligence into decision making and improve business outcomes. Vianai customers include many of the world's largest and most respected companies in manufacturing, financial services, retail, and aerospace and defense, among many others. The company is headquartered in Palo Alto, California, and has an R&D center in Israel.

Employment Type: FULL_TIME